TY - GEN
T1 - A four point algorithm for fast metric cone reconstruction from a calibrated image
AU - Zhou, Jin
AU - Li, Baoxin
PY - 2008
Y1 - 2008
N2 - This paper presents a four point algorithm for fast metric reconstruction of a cone from a single calibrated image. The algorithm first estimates the camera's orientation based on two edge lines and a cross section contour, which are derived from user-specified four points. With camera's orientation determined, the cone is reconstructed from the image points. The algorithm enables fast and accurate modeling of cone objects from images, which is verified by the experiments.
AB - This paper presents a four point algorithm for fast metric reconstruction of a cone from a single calibrated image. The algorithm first estimates the camera's orientation based on two edge lines and a cross section contour, which are derived from user-specified four points. With camera's orientation determined, the cone is reconstructed from the image points. The algorithm enables fast and accurate modeling of cone objects from images, which is verified by the experiments.
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U2 - 10.1007/978-3-540-89646-3_62
DO - 10.1007/978-3-540-89646-3_62
M3 - Conference contribution
AN - SCOPUS:70149100877
SN - 3540896457
SN - 9783540896456
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 634
EP - 643
BT - Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings
T2 - 4th International Symposium on Visual Computing, ISVC 2008
Y2 - 1 December 2008 through 3 December 2008
ER -